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Machine Learning Developer

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Autodesk

1mo ago

  • Job
    Full-time
    Mid Level
  • Data
    Software Engineering
  • Toronto
  • Quick Apply

AI generated summary

  • You need an MS in a relevant field, 3+ years in ML, deep learning expertise (CNN, transformers), AWS proficiency, strong coding skills, and the ability to implement theoretical concepts practically.
  • You will develop scalable data pipelines, support data tasks, write code for model management, monitor performance, analyze requirements, handle large data sets, and communicate insights effectively.

Requirements

  • MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
  • 3+ years of experience in machine learning engineering or related field
  • Domain expertise in training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow
  • Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems
  • Experience with data modeling, architecture, and processing using varied data representations including 2D/3D geometry
  • Proficient in AWS cloud services and leveraging the SageMaker
  • Studio platform for scalable data processing and model development
  • Good understanding of fundamental CS algorithms and their scaling behaviors
  • Excellent coding skills covering procedural as well as data-analytics oriented languages (such as Python)
  • Ability to translate theoretical concepts into practical solutions and prototype implementations

Responsibilities

  • Collaborate with other engineers to develop scalable data pipelines and architectures with a focus on MLOps best practices for large language models (LLMs)
  • Support tasks related to data collection, data analysis, content understanding, storage and processing
  • Write code for model training, testing, and deployment
  • Monitor and troubleshoot machine learning models to ensure accuracy and performance
  • Perform requirements analysis, working with team members of different levels and documenting solutions
  • Work with large-scale data sets and manage data flow between systems
  • Organize and process large batches of text and geometric data
  • Communicate your findings through quantitative data analysis and qualitative visuals and insights

FAQs

What is the job title for this position?

The job title is Machine Learning Developer.

What are the main responsibilities of the Machine Learning Developer?

The main responsibilities include collaborating with other engineers to develop scalable data pipelines, supporting tasks related to data collection and analysis, writing code for model training and deployment, monitoring machine learning models, performing requirements analysis, managing data flow, organizing large batches of data, and communicating findings through quantitative and qualitative analysis.

What educational qualifications are required for this position?

A Master's degree in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field is required.

How much experience is required for this role?

A minimum of 3 years of experience in machine learning engineering or a related field is required.

What technical skills are necessary for this position?

Necessary skills include training deep neural networks, proficiency in at least one deep learning framework (like PyTorch or TensorFlow), experience with LLMs and related technologies, data modeling, AWS cloud services, and excellent coding skills, particularly in Python.

Is a background in Architecture, Engineering, or Construction preferred?

Yes, a background in Architecture, Engineering, or Construction is preferred.

What tools or platforms should the candidate be familiar with?

The candidate should be familiar with AWS cloud services, particularly SageMaker, as well as data processing and model development tools.

Is there an emphasis on diversity and belonging within the company?

Yes, Autodesk emphasizes cultivating a culture of belonging and an equitable workplace where everyone can thrive.

Where is this position located?

The position is based near Autodesk's offices in Boston, Massachusetts, or Toronto, Canada, and supports hybrid work.

What does the company culture at Autodesk emphasize?

The company culture at Autodesk emphasizes values that help people thrive, promoting authenticity and meaningful work that contributes to building a better future.

Are there opportunities for career growth in this role?

Yes, the ideal candidate is expected to constantly strive to learn new technologies and methodologies, indicating opportunities for growth and professional development.

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Autodesk

How the world gets designed and made. #MakeAnything

Technology
Industry
10,001+
Employees
1982
Founded Year

Mission & Purpose

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.